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Identify high-impact AI use cases.\nEnsure responsible AI, risk management, and compliance.\nLead stakeholder alignment and leadership communication.\nCross-Functional Execution\nOwn end-to-end AI product lifecycle execution with cross-functional teams.\nDefine problems, requirements, and success metrics from discovery through delivery.\nManage data/model lifecycle from build to deploy, monitor, and improve.\nMeasure impact through experimentation and performance tracking and iterate continuously.\nOrganization Capability Building (Training, Coaching, Enablement)\nJob Qualifications\n1. Product management experience delivering data-driven or AI/ML-enabled products/features with measurable business outcomes.\n2. Technical background and depth (e.g., engineering, data science, or analytics).\n3. Demonstrated ability to learn new technologies quickly and apply them pragmatically to product decisions.\n4. Experience working with cross-functional teams in Agile/Scrum environments.\n5. Communication: ability to explain complex AI topics to both technical and non-technical audiences.\nAt P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise.\nCompensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. 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